GTFS Schedule Validation Report

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip.	stopId (?) The id of the faulty stop.	csvRowNumber (?) The row number from `stop_times.txt`.	shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record.	stopSequence (?) The faulty record's `stop_times.stop_sequence`.	prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time.	prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time.	prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"1511832"	"5344"	49225	0.5558	3	49220	0.5558	2
"1511831"	"5344"	49156	0.5558	3	49054	0.5558	2
"1511830"	"5344"	49147	0.5558	3	49146	0.5558	2
"1511835"	"5344"	49369	0.5558	3	49367	0.5558	2
"1511834"	"5344"	49323	0.5558	3	49318	0.5558	2
"1511833"	"5344"	49273	0.5558	3	49268	0.5558	2
"1511829"	"5344"	49134	0.5558	3	49133	0.5558	2
"1511828"	"5344"	49124	0.5558	3	49123	0.5558	2

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

shapeId (?) The id of the faulty shape.	csvRowNumber (?) The row number from `shapes.txt`.	shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value.	shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`.	prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point.	prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value.	prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.	actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"96896"	7427	2.7686	95	7426	2.7686	94	1.1302585849141356
"96896"	7429	2.7786	97	7428	2.7786	96	1.1807146659776948
"96896"	7311	3.3196	127	7310	3.3196	126	1.1302586764487663
"96896"	7313	3.3296	129	7312	3.3296	128	1.1302586777087495
"97069"	32412	0.0305	3	32411	0.0305	2	30.00662936075643
"96895"	6613	0.0326	3	6612	0.0326	2	32.68255831646826
"96895"	7017	0.2914	98	7013	0.2914	97	1.9799773383846713
"96895"	6952	2.9559	244	6899	2.9559	243	1.1302586777087495
"96895"	6954	2.9659	246	6953	2.9659	245	1.1302586764487663
"96895"	6984	3.5069	276	6983	3.5069	275	1.1807146659776948
"96895"	6986	3.5169	278	6985	3.5169	277	1.1302585849141356
"97066"	32053	0.0499	3	32369	0.0499	2	50.62283637118067
"97067"	32144	0.0499	3	32143	0.0499	2	50.62283637118067
"96913"	11007	0.0032	3	11006	0.0032	2	2.936586481619359
"96914"	11681	0.0032	3	11680	0.0032	2	2.936586481619359
"97017"	25220	0.1396	3	25219	0.1396	2	139.98977480779232
"97014"	25175	0.1396	3	25174	0.1396	2	139.98977480779232
"97010"	24649	0.024	3	24648	0.024	2	24.46444477246213
"96951"	19067	0.0649	10	19063	0.0649	9	1.129949690699537
"97031"	26459	0.0649	10	26458	0.0649	9	1.129949690699537
"97027"	26536	0.1396	3	26530	0.1396	2	139.98977480779232
"96995"	21711	0.047	3	21710	0.047	2	46.92438237711729
"96996"	21912	0.047	3	21911	0.047	2	46.92438237711729
"96997"	21616	0.0032	3	21615	0.0032	2	2.936586481619359
"96998"	22336	0.0177	3	22335	0.0177	2	17.88086292847421
"97046"	29244	0.0649	10	29243	0.0649	9	1.129949690699537

invalid_color

A field contains an invalid color value.

A color must be encoded as a six-digit hexadecimal number. The leading "#" is not included.

Example: FFFFFF for white, 000000 for black or 0039A6 for the A,C,E lines in NYC MTA.

You can see more about this notice here.

Only the first 50 of 54 affected records are displayed below.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) Faulty record's field name.	fieldValue (?) Faulty value.
"routes.txt"	2	"route_text_color"	"0"
"routes.txt"	3	"route_text_color"	"0"
"routes.txt"	4	"route_text_color"	"0"
"routes.txt"	5	"route_text_color"	"0"
"routes.txt"	6	"route_text_color"	"0"
"routes.txt"	7	"route_text_color"	"0"
"routes.txt"	8	"route_text_color"	"0"
"routes.txt"	9	"route_text_color"	"0"
"routes.txt"	10	"route_text_color"	"0"
"routes.txt"	11	"route_text_color"	"0"
"routes.txt"	12	"route_text_color"	"0"
"routes.txt"	13	"route_text_color"	"0"
"routes.txt"	14	"route_text_color"	"0"
"routes.txt"	15	"route_text_color"	"0"
"routes.txt"	16	"route_text_color"	"0"
"routes.txt"	17	"route_text_color"	"0"
"routes.txt"	18	"route_text_color"	"0"
"routes.txt"	19	"route_text_color"	"0"
"routes.txt"	20	"route_text_color"	"0"
"routes.txt"	21	"route_text_color"	"0"
"routes.txt"	22	"route_text_color"	"0"
"routes.txt"	23	"route_text_color"	"0"
"routes.txt"	24	"route_text_color"	"0"
"routes.txt"	25	"route_text_color"	"0"
"routes.txt"	26	"route_text_color"	"0"
"routes.txt"	27	"route_text_color"	"0"
"routes.txt"	28	"route_text_color"	"0"
"routes.txt"	29	"route_text_color"	"0"
"routes.txt"	30	"route_text_color"	"0"
"routes.txt"	31	"route_text_color"	"0"
"routes.txt"	32	"route_text_color"	"0"
"routes.txt"	33	"route_text_color"	"0"
"routes.txt"	34	"route_text_color"	"0"
"routes.txt"	35	"route_text_color"	"0"
"routes.txt"	36	"route_text_color"	"0"
"routes.txt"	37	"route_text_color"	"0"
"routes.txt"	38	"route_text_color"	"0"
"routes.txt"	39	"route_text_color"	"0"
"routes.txt"	40	"route_text_color"	"0"
"routes.txt"	41	"route_text_color"	"0"
"routes.txt"	42	"route_text_color"	"0"
"routes.txt"	43	"route_text_color"	"0"
"routes.txt"	44	"route_text_color"	"0"
"routes.txt"	45	"route_text_color"	"0"
"routes.txt"	46	"route_text_color"	"0"
"routes.txt"	47	"route_text_color"	"0"
"routes.txt"	48	"route_text_color"	"0"
"routes.txt"	49	"route_text_color"	"0"
"routes.txt"	50	"route_text_color"	"0"
"routes.txt"	51	"route_text_color"	"0"

missing_trip_edge

Missing trip edge arrival_time or departure_time.

First and last stop of a trip must define both arrival_time and departure_time fields. Per stop_times.txt, "If there are not separate times for arrival and departure at a stop, enter the same value for arrival_time and departure_time."

You can see more about this notice here.

Only the first 50 of 120 affected records are displayed below.

csvRowNumber (?) The row of the faulty record.	stopSequence (?) `stops.stop_sequence` of the faulty record.	tripId (?) The `trips.trip_id` of the faulty record.	specifiedField (?) Name of the missing field.
72655	10	"1508673"	"arrival_time"
72655	10	"1508673"	"departure_time"
72663	18	"1508673"	"arrival_time"
72663	18	"1508673"	"departure_time"
98984	1	"1512541"	"arrival_time"
98984	1	"1512541"	"departure_time"
99057	13	"1512541"	"arrival_time"
99057	13	"1512541"	"departure_time"
16303	9	"1508551"	"arrival_time"
16303	9	"1508551"	"departure_time"
16312	18	"1508551"	"arrival_time"
16312	18	"1508551"	"departure_time"
60756	4	"1507208"	"arrival_time"
60756	4	"1507208"	"departure_time"
60803	5	"1507208"	"arrival_time"
60803	5	"1507208"	"departure_time"
91402	27	"1511192"	"arrival_time"
91402	27	"1511192"	"departure_time"
91402	27	"1511192"	"arrival_time"
91402	27	"1511192"	"departure_time"
66208	22	"1507955"	"arrival_time"
66208	22	"1507955"	"departure_time"
66212	26	"1507955"	"arrival_time"
66212	26	"1507955"	"departure_time"
43054	27	"1511114"	"arrival_time"
43054	27	"1511114"	"departure_time"
43054	27	"1511114"	"arrival_time"
43054	27	"1511114"	"departure_time"
54038	1	"1512475"	"arrival_time"
54038	1	"1512475"	"departure_time"
54048	11	"1512475"	"arrival_time"
54048	11	"1512475"	"departure_time"
14752	17	"1508463"	"arrival_time"
14752	17	"1508463"	"departure_time"
14791	20	"1508463"	"arrival_time"
14791	20	"1508463"	"departure_time"
54593	1	"1512506"	"arrival_time"
54593	1	"1512506"	"departure_time"
54405	13	"1512506"	"arrival_time"
54405	13	"1512506"	"departure_time"
99058	1	"1512512"	"arrival_time"
99058	1	"1512512"	"departure_time"
99086	11	"1512512"	"arrival_time"
99086	11	"1512512"	"departure_time"
53143	1	"1512324"	"arrival_time"
53143	1	"1512324"	"departure_time"
53181	14	"1512324"	"arrival_time"
53181	14	"1512324"	"departure_time"
53477	1	"1512359"	"arrival_time"
53477	1	"1512359"	"departure_time"

stop_time_timepoint_without_times

arrival_time or departure_time not specified for timepoint.

Any records with stop_times.timepoint set to 1 must define a value for stop_times.arrival_time and stop_times.departure_time fields.

You can see more about this notice here.

Only the first 50 of 140 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record.	tripId (?) The faulty record's id.	stopSequence (?) The faulty record's `stops.stop_sequence`.	specifiedField (?) Either `departure_time` or `arrival_time`.
10526	"1508151"	33	"arrival_time"
10526	"1508151"	33	"departure_time"
10538	"1508151"	35	"arrival_time"
10538	"1508151"	35	"departure_time"
10562	"1508151"	39	"arrival_time"
10562	"1508151"	39	"departure_time"
14791	"1508463"	20	"arrival_time"
14791	"1508463"	20	"departure_time"
16304	"1508551"	10	"arrival_time"
16304	"1508551"	10	"departure_time"
16312	"1508551"	18	"arrival_time"
16312	"1508551"	18	"departure_time"
18707	"1508783"	21	"arrival_time"
18707	"1508783"	21	"departure_time"
18860	"1508783"	28	"arrival_time"
18860	"1508783"	28	"departure_time"
18866	"1508783"	34	"arrival_time"
18866	"1508783"	34	"departure_time"
19958	"1508933"	8	"arrival_time"
19958	"1508933"	8	"departure_time"
19963	"1508933"	13	"arrival_time"
19963	"1508933"	13	"departure_time"
19971	"1508933"	21	"arrival_time"
19971	"1508933"	21	"departure_time"
20756	"1508975"	19	"arrival_time"
20756	"1508975"	19	"departure_time"
26188	"1509400"	20	"arrival_time"
26188	"1509400"	20	"departure_time"
35184	"1510282"	1	"arrival_time"
35184	"1510282"	1	"departure_time"
35189	"1510282"	6	"arrival_time"
35189	"1510282"	6	"departure_time"
35199	"1510282"	16	"arrival_time"
35199	"1510282"	16	"departure_time"
35284	"1510282"	23	"arrival_time"
35284	"1510282"	23	"departure_time"
35291	"1510282"	30	"arrival_time"
35291	"1510282"	30	"departure_time"
35297	"1510282"	36	"arrival_time"
35297	"1510282"	36	"departure_time"
39205	"1510590"	19	"arrival_time"
39205	"1510590"	19	"departure_time"
43054	"1511114"	27	"arrival_time"
43054	"1511114"	27	"departure_time"
44590	"1513331"	1	"arrival_time"
44590	"1513331"	1	"departure_time"
44660	"1513331"	7	"arrival_time"
44660	"1513331"	7	"departure_time"
50754	"1511898"	10	"arrival_time"
50754	"1511898"	10	"departure_time"

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 678 affected records are displayed below.

shapeId (?) The id of the faulty shape.	csvRowNumber (?) The row number from `shapes.txt`.	shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value.	shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`.	prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point.	prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value.	prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.	actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"97075"	33455	0.7025	21	33454	0.7025	20	0.43108146038333267
"97076"	33557	0.0468	4	33556	0.0468	3	0.8486899460183852
"97071"	32933	4.2976	106	32932	4.2976	105	0.1304756008279086
"97071"	32935	4.3116	108	32934	4.3116	107	0.5460861250012425
"97072"	33044	2.1486	43	33043	2.1486	42	0.8486899460183852
"97072"	32855	6.4946	154	32854	6.4946	153	0.1304756008279086
"97072"	32857	6.5086	156	32856	6.5086	155	0.5460861250012425
"97074"	32982	0.7025	21	32981	0.7025	20	0.43108146038333267
"97074"	33189	4.9363	128	33188	4.9363	127	0.8486899460183852
"97070"	32760	3.9209	94	32759	3.9209	93	0.1304756008279086
"97070"	32762	3.9349	96	32761	3.9349	95	0.5460861250012425
"96896"	7454	6.2515	271	7301	6.2515	270	0.06825884414369784
"96897"	7396	8.0815	141	7395	8.0815	140	0.5568548842433407
"96897"	7402	8.1261	147	7401	8.1261	146	0.1304462961141256
"96897"	7235	8.5702	182	7234	8.5702	181	0.06819875198120716
"96897"	7242	8.5997	189	7241	8.5997	188	0.11119510161714974
"96897"	7251	8.6398	198	7250	8.6398	197	0.13044269698787198
"96897"	7755	8.6501	201	7754	8.6501	200	0.13044263828696243
"96897"	7757	8.6551	203	7756	8.6551	202	0.1304426083798738
"96897"	7760	8.665	206	7759	8.665	205	0.13044255448740344
"96897"	7764	8.68	210	7763	8.68	209	0.06819743133029443
"97068"	32622	0.0468	4	32621	0.0468	3	0.8486899460183852
"97068"	32408	4.3526	140	32407	4.3526	139	0.26096681888723894
"97069"	32665	2.4684	56	32664	2.4684	55	0.26096681888723894
"96895"	6615	0.0385	5	6614	0.0385	4	0.7042871593329065
"96895"	6617	0.0395	7	6616	0.0395	6	0.3521436033135646
"96895"	6619	0.0405	9	6618	0.0405	8	0.30230861645531987
"96895"	6621	0.0415	11	6620	0.0415	10	0.30230862890838295
"96895"	6623	0.0425	13	6622	0.0425	12	0.7330834129278515
"96895"	6626	0.0445	16	6625	0.0445	15	0.6523723600434463
"96895"	6628	0.0455	18	6627	0.0455	17	0.36043877396233426
"96895"	6631	0.0475	21	6630	0.0475	20	0.697889524182442
"96895"	6633	0.0485	23	6632	0.0485	22	0.6809945595201962
"96895"	6635	0.0495	25	6634	0.0495	24	0.6706533109384497
"96895"	6637	0.0505	27	6636	0.0505	26	0.6671706075809258
"96895"	6639	0.0515	29	6638	0.0515	28	0.6706533139010973
"96895"	6641	0.0525	31	6640	0.0525	30	0.6809945822472182
"96895"	6643	0.0535	33	6642	0.0535	32	0.6978895981001425
"96895"	6646	0.0555	36	6645	0.0555	35	0.6243107908315016
"96895"	6648	0.0565	38	6647	0.0565	37	0.6671706075809258
"96895"	6650	0.0579	40	6649	0.0579	39	0.9915911765238579
"96895"	6653	0.0599	43	6652	0.0599	42	0.7792954582210231
"96895"	7011	0.0619	46	7008	0.0619	45	0.9342801857277023
"96895"	7019	0.0633	48	7015	0.0633	47	0.8621539735590344
"96895"	7027	0.0643	50	7023	0.0643	49	0.7590357742124298
"96895"	7035	0.0653	52	7031	0.0653	51	0.2948093959469982
"96895"	7043	0.0663	54	7039	0.0663	53	0.5724908947183628
"96895"	7051	0.0673	56	7047	0.0673	55	0.6243115370591309
"96895"	7059	0.0683	58	7055	0.0683	57	0.9899712294051323
"96895"	7067	0.0693	60	7063	0.0693	59	0.759035858423825

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) The name of the missing field.
"agency.txt"	2	"agency_id"

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:

Field Text	Dataset
"Schwerin, Hauptbahnhof"	Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin"	NYC Ferry
"Campo Grande Norte"	Carris

Bad examples:

Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file.	fieldName (?) Name of the faulty field.	fieldValue (?) Faulty value.	csvRowNumber (?) The row number of the faulty record.
"stops.txt"	"stop_name"	"23rd / D"	202
"stops.txt"	"stop_name"	"3rd / 20th"	338
"trips.txt"	"trip_headsign"	"NELSON RD"	2105
"trips.txt"	"trip_headsign"	"NELSON RD"	2106
"trips.txt"	"trip_headsign"	"NELSON RD"	2107
"trips.txt"	"trip_headsign"	"NELSON RD"	2108
"trips.txt"	"trip_headsign"	"NELSON RD"	2109
"trips.txt"	"trip_headsign"	"NELSON RD"	2110
"trips.txt"	"trip_headsign"	"NELSON RD"	2111
"trips.txt"	"trip_headsign"	"NELSON RD"	2112
"trips.txt"	"trip_headsign"	"NELSON RD"	2113

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	stopId (?) The id of the faulty stop.	stopName (?) The name of the faulty stop.
8	"5527"	"Feheregyhazi / Bolstad"
9	"5528"	"Kalra Road / Forsey"
10	"5529"	"Kalra Road / Whitehead"
11	"5581"	"Kalra Road / Shevchenko"
12	"5776"	"Feheregyhazi / Shevchenko"
13	"5981"	"Feheregyhazi / Whitehead"
14	"5778"	"Feheregyhazi / Forsey"
15	"5777"	"Orban Way / Fedoruk"
16	"5962"	"Ludlow / Heath"
1007	"5727"	"24th & 6th Ave"
1198	"5523"	"Feheregyhazi / Fast"

unusable_trip

Trips must have more than one stop to be usable.

A trip must visit more than one stop in stop_times.txt to be usable by passengers for boarding and alighting.

You can see more about this notice here.

Only the first 50 of 305 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record.	tripId (?) The faulty record's id.
117	"1507122"
118	"1507123"
119	"1507124"
120	"1507125"
150	"1507155"
151	"1507289"
152	"1507282"
153	"1507340"
201	"1507331"
215	"1507550"
216	"1507549"
252	"1507338"
275	"1507526"
276	"1507525"
333	"1513465"
351	"1507288"
370	"1507771"
371	"1513338"
382	"1513336"
385	"1513337"
386	"1507770"
436	"1507916"
445	"1507914"
447	"1507915"
449	"1507917"
586	"1507952"
603	"1508462"
681	"1508262"
794	"1508549"
795	"1508550"
802	"1509374"
803	"1509373"
852	"1508915"
861	"1509122"
875	"1508916"
908	"1509260"
910	"1509261"
948	"1508974"
1073	"1509291"
1075	"1509372"
1076	"1509396"
1088	"1513468"
1212	"1509722"
1243	"1509752"
1252	"1509830"
1407	"1509904"
1408	"1509912"
1409	"1509913"
1474	"1510010"
1475	"1510011"

unused_trip

Trip is not be used in stop_times.txt

Trips should be referred to at least once in stop_times.txt.

You can see more about this notice here.

Only the first 50 of 293 affected records are displayed below.

tripId (?) The faulty record's id.	csvRowNumber (?) The row number of the faulty record.
"1507122"	117
"1507123"	118
"1507124"	119
"1507125"	120
"1507155"	150
"1507289"	151
"1507282"	152
"1507331"	201
"1507550"	215
"1507549"	216
"1507338"	252
"1507526"	275
"1507525"	276
"1513465"	333
"1507288"	351
"1507771"	370
"1513338"	371
"1513336"	382
"1513337"	385
"1507770"	386
"1507916"	436
"1507914"	445
"1507915"	447
"1507917"	449
"1507952"	586
"1508462"	603
"1508262"	681
"1508549"	794
"1508550"	795
"1509374"	802
"1509373"	803
"1508915"	852
"1509122"	861
"1508916"	875
"1509260"	908
"1509261"	910
"1508974"	948
"1509291"	1073
"1509372"	1075
"1509396"	1076
"1513468"	1088
"1509722"	1212
"1509752"	1243
"1509830"	1252
"1509904"	1407
"1509912"	1408
"1509913"	1409
"1510010"	1474
"1510011"	1475
"1510003"	1477

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file.	fieldName (?) The name of the unknown column.	index (?) The index of the faulty column.
"agency.txt"	"ObjectId"	8
"calendar.txt"	"ObjectId"	11
"routes.txt"	"ObjectId"	10
"shapes.txt"	"ObjectId"	6
"stops.txt"	"ObjectId"	13
"stop_times.txt"	"ObjectId"	11
"trips.txt"	"ObjectId"	11